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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Title of the project:“Production and tests of the Minicrate for the Phase2
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for testing machine learning algorithms applied to generative design in support of existing heritage regeneration processes. Where to apply E-mail reclutamento.docenti@ateneo.uniroma3.it Requirements Additional
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. The candidate will reduce model uncertainties by producing new large cosmological simulations of the magnetic outputs from galaxies in the ENZO code, which will test realistic implementations of baryonic feedback
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-of-principle FFS measurements on various test samples Support the supervision of a PhD student ESSENTIAL REQUIREMENTS A PhD in physics, biophysics, engineering or a related discipline Documented experience in
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methodologies to improve energy performance in the production and use of hydrogen. The ability to build and set up testing equipment for the experimental characterization of Membrane Electrode Assemblies (MEA
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research unit. The selected candidate may also be involved in additional activities or projects within the Centre, depending on organizational needs. Where to apply Website https://jobs.fbk.eu/Annunci
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collisions recorded by the ATLAS experiment at the LHC. The analysis will be carried out in different energy regimes, including those that are still largely unexplored, in order to test the predictions
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. Strong software engineering background, ideally including: Robotics, automation, and AI innovations DevOps / MLOps / CI/CD Large-scale systems Empirical software engineering Testing and validation
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) Testing the Standard Model with the LHCb-Upgrade experiment in high-rate conditions; 3) Theoretical aspects of the fundamental interactions and early cosmology; 4) Observation-driven models of galaxies and